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Transcript
Chapter 53: Community Ecology Community Assemblage of populations of different species living close enough for potential interaction Interspecific interactions Relationship of an organism with other species in its community Types: Competition Predation Herbivory Symbiosis Parasitism Mutualism Commensalism disease Interspecific interactions are -/-. Competitive exclusion: when 2 species compete for a resource that is in short supply it can lead to the elimination of one of those species Ecological niche sum total of species’ use of biotic & abiotic resources in its environment Fundamental niche Realized niche Theoretical resource use ideal conditions actual resources use real conditions of competition & predation included **2 species cannot coexist with identical niches Evidence of competition in nature Resource partitioning Character displacement Sympatric species consume slightly different resources such as food Tendency for traits to be more divergent in sympatric populations than in allopatric populations of the same 2 species Parasitism (+/-) Predator lives on or in host but seldom kills host Parasitoidism (+/-) Endoparasite examples: tapeworm, flukes Ectoparasite examples: European cuckoos laying eggs in nest of another species Parasite kills host Example: wasp lays eggs in host, larva hatch, feed, & eventually kill host Disease (+/-) Pathogen=microscopic parasite that causes lethal harm Symbiosis: close association between host & symbiont Commensalism (+/0) Mutualism (+/+) Symbiont benefits from host while host is uneffected Few absolute examples Cattle egret feeds on insects that grazing cattle flush out of grass Interaction benefits both species Examples: nitrogen-fixing bacteria on legumes, cellulose digesting microorganisms in digestive tracts of termites & cows, specific nectar pollinating insects of specific flowers Coevolution Change in one species acts as a selective force on another species Counter-adaptations of the second species in turn affects selection in the first species Predation & Herbivory (+/-) Predator eats its prey Adaptations for stalking prey: Acute senses Heat sensors, chemical sensors, sharp eyesight Structures Claws, teeth, fangs, stingers, poisons Speed & agility camouflage Prey/Plant defenses include Structural Thorns, spines Chemical Toxic or bitter taste Passive hiding Cryptic coloration Shape of animal, deceptive markings (i.e. fake eyes) Aposematic coloration Bright coloration as a warning of toxicity Mimicry Batesian- edible species resembles inedible species Mullerian- two inedible species resemble each other Use by predator to lure prey- example… snapping turtle wags tongue like a worm to attract fish **Community structure is dependant on species diversity & trophic structure; is also effected greatly by certain species in the community Species diversity The variety of different organisms that make up the community Components Species richness Total number of different species in the community Relative abundance Proportion of each species in the community Trophic structure Food chains Food webs Feeding relationships between organisms in the community Linked food chains Limits to food chain length Energetic hypothesis Food chain is limited by inefficiency of energy transfer along the chain (only 10% passed on to next trophic level) Dynamic stability hypothesis Long food chains are less stable than shorter food chains a result of the magnification of population fluctuations at higher trophic levels (top predators more likely to go extinct) Variable environments=shorter food chains Species with a large impact on community structure Dominant species Keystone species Species in the community with the most biomass or abundance Species that play a pivotal ecological role or niche Foundation species Species that causes physical changes in the environment that affects the structure of the community Ex. beavers Non-equilibrium model Communities are constantly changing Disturbance influences species diversity & composition Disturbance event that changes a community through removal of organisms &/or altering resource availability Examples: storm, fire, drought, human activity* *largest/widespread agent of change Intermediate disturbance hypothesis Moderate levels of disturbance can create conditions that encourage species diversity by opening up new niches low levels of disturbance lower diversity because species are out-competed high levels of disturbance reduce diversity because of stress to species Ecological succession Disturbed area is colonized by a variety of species which are replaced by other species which are again replaced…. Primary succession Lifeless area without soil begins being inhabited by variety of species Dominant species are often autotrophic prokaryotes, lichens, & mosses to start replaced by grasses, shrubs, & trees Secondary succession Existing community is cleared by a disturbance that leaves the soil intact Ex. Species inhabiting a forest after a fire Biogeographic features affect community biodiversity Geographic location Species diversity is higher at equatorial region compared to seasonally disturbed higher latitudes Evapotranspiration rate is higher at equatorial regions Size Larger geographic areas have a greater number of species as long as all other factors are equal Models for community organization Bottom-up model Suggests alteration of biomass at lower trophic levels will influence the higher trophic levels Ex. Adding nutrients to soil increases plants, then herbivores then carnivores Top-down model/trophic cascade model Postulates that predation controls community organization Ex. Removing lake predator increases herbivores which decreases plants which increases nutrients Hypothesis for community structure Interactive hypothesis Community is an assemblage of closely linked species having mandatory biotic interactions that cause the community to function as an integral unit Individual hypothesis Community is a chance assemblage of species found in an area because of similar abiotic requirements Generally accepted by plant ecologists Models for individual hypothesis: Rivet model Most species in a community are associated tightly with others in its community in a web of life Redundancy model Web of life is loose Increase or decrease in one species has little effect on other species because there are redundant species to fill voids